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January 2020

25th Annual LIDS Student Conference

January 29, 2020 @ 8:00 am - January 30, 2020 @ 5:00 pm

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Welcome to the 24th annual LIDS Student Conference! The annual LIDS student conference provides an opportunity for graduate students to present their research to peers as well as to the community at large. The conference will be held on January 29 – 30, at MIT's Stata Center Rooms 32-141.

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November 2018

Censored: Distraction and Diversion Inside China’s Great Firewall

November 27, 2018 @ 4:00 pm - 5:00 pm

Margaret Roberts (UC San Diego)

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Abstract: As authoritarian governments around the world develop sophisticated technologies for controlling information, many observers have predicted that these controls would be ineffective because they are easily thwarted and evaded by savvy Internet users. In Censored, Margaret Roberts demonstrates that even censorship that is easy to circumvent can still be enormously effective. Taking advantage of digital data harvested from the Chinese Internet and leaks from China's Propaganda Department, this book sheds light on how and when censorship influences the Chinese…

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Functional Representation of Random variables and Applications

November 13, 2018 @ 8:00 am - 5:00 pm

Abbas El Gamal (Stanford University)

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The functional representation lemma says that given random variables X and Y, there exists a random variable Z, independent of X, and a function g(x,z) such that Y=g(X,Z). This lemma has had several applications in information theory aimed at simplifying computations of certain information functional. I will present a strengthened version of this lemma and applications to several one-shot coding problems. The first application is to channel simulation with common randomness, where we obtain an improved bound on the achievable…

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October 2018

Can machine learning survive the artificial intelligence revolution?

October 16, 2018 @ 4:00 pm - 5:00 pm

Francis Bach (INRIA)

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  Abstract: Data and algorithms are ubiquitous in all scientific, industrial and personal domains. Data now come in multiple forms (text, image, video, web, sensors, etc.), are massive, and require more and more complex processing beyond their mere indexation or the computation of simple statistics, such as recognizing objects in images or translating texts. For all of these tasks, commonly referred to as artificial intelligence (AI), significant recent progress has allowed algorithms to reach performances that were deemed unreachable a…

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September 2018

Text as Data in Social Science: Discovery, Measurement and Causal Inference

September 25, 2018 @ 4:00 pm - 5:00 pm

Brandon Stewart (Princeton University)

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Social scientists are increasingly turning to computer-assisted text analysis as a way of understanding the digital footprints left by communities and individuals. Much of the technology that powers these approaches is borrowed from the fields of computer science and statistics; yet, social scientists have substantially different goals. We focus on the development of methods that support three core tasks: discovery, measurement and causal inference with text. We introduce the Structural Topic Model (STM), a bayesian generative model of text which…

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Science for Policy 2.0

September 11, 2018 @ 4:00 pm - 5:00 pm

Vladimír Šucha (Joint Research Centre)

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We live in an increasingly polarized present, looking to a complex and uncertain future while basing our legislative decisions on systems of the past. We need the processes and structures that underpin our political decision-making to be aligned with the complexities of the 21st century. Such changes cannot be undertaken by a technocratic elite, potentially disenfranchising citizens further from their governing institutions. Rather, political institutions must seek to improve transparency, openness, and accountability. The great divide between science and policy…

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May 2018

LIDS Seminar Series – Vivek Borkar

May 15, 2018 @ 3:00 pm - 4:00 pm

Vivek Borkar (Indian Institute of Technology Bombay)

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A Rationally Designed Biomolecular Integral Feedback Control System for Robust Gene Regulation

May 8, 2018 @ 3:00 pm - 4:00 pm

Mustafa Khammash ( ETH Zurich )

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Abstract Humans have been influencing the DNA of plants and animals for thousands of years through selective breeding. Yet it is only over the last 3 decades or so that we have gained the ability to manipulate the DNA itself and directly alter its sequences through the modern tools of genetic engineering. This has revolutionized biotechnology and ushered in the era of synthetic biology. Among the possible applications enabled by synthetic biology is the design and engineering of feedback control…

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April 2018

LIDS Seminar Series: Jose M. F. Moura

April 24, 2018 @ 3:00 pm - 4:00 pm

Jose M F Moura (Carnegie Mellon University)

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Finding Online Extremists in Social Networks

April 10, 2018 @ 3:00 pm - 4:00 pm

Tauhid Zaman (MIT)

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Abstract Online extremists in social networks pose a new form of threat to the general public. These extremists range from cyber bullies who harass innocent users to terrorist organizations such as ISIS that use social networks to spread propaganda. Currently, social networks suspend the accounts of such extremists in response to user complaints, but these extremist users simply create new accounts and continue their activities. In this talk, we present a new set of operational capabilities to help authorities mitigate…

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March 2018

LIDS Seminar Series – Lizhong Zheng

March 20, 2018 @ 3:00 pm - 4:00 pm

Lizhong Zheng (MIT)

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The Power of Multiple Samples in Generative Adversarial Networks

March 13, 2018 @ 3:00 pm - 4:00 pm

Sewoong Oh ( University of Illinois, Urbana-Champaign )

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Abstract We bring the tools from Blackwell’s seminal result on comparing two stochastic experiments from 1953, to shine a new light on a modern application of great interest: Generative Adversarial Networks (GAN). Binary hypothesis testing is at the center of training GANs, where a trained neural network (called a critic) determines whether a given sample is from the real data or the generated (fake) data. By jointly training the generator and the critic, the hope is that eventually, the trained…

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February 2018

Safe Learning in Robotics

February 27, 2018 @ 3:00 pm - 4:00 pm

Claire Tomlin ( University of California, Berkeley )

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Abstract A great deal of research in recent years has focused on robot learning. In many applications, guarantees that specifications are satisfied throughout the learning process are paramount. For the safety specification, we present a controller synthesis technique based on the computation of reachable sets using optimal control. We show recent results in system decomposition to speed up this computation, and how offline computation may be used in online applications. We then present a method combining reachability with machine learning,…

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Supervisory Control of Discrete Event Systems: A Retrospective and Two Recent Results on Security and Privacy

February 13, 2018 @ 3:00 pm - 4:00 pm

Stephane Lafortune (University of Michigan)

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Abstract Lafortune will begin with a brief retrospective of the theory of supervisory control of discrete event systems, initiated in the seminal work of Ramadge & Wonham over 30 years ago, and compare it with recent work in formal methods in control. He will then present results from his group on two problems: (i) sensor deception attacks in the supervisory control layer of a cyber-physical system; and (ii) obfuscation of system secrets by insertion of fictitious events in the output…

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May 2017

Stable Optimal Control and Semicontractive Dynamic Programming

May 16, 2017 @ 4:00 pm

Dimitri Bertsekas (MIT)

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The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing. 

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April 2017

Testing properties of distributions over big domains

April 28, 2017 @ 11:00 am

Ronitt Rubinfeld (MIT)

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The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability, statistics, optimization, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated…

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Recent Methodological Advances in Automated Causal Discovery

April 25, 2017 @ 4:00 pm

Peter Spirtes (Carnegie Mellon University)

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IDSS Distinguished Seminars is a monthly lecture series featuring prominent global leaders and academics sharing research in areas that include social networks, causal inference, data privacy, computational social science and other areas that are impacted by the emergence of big data.  

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Data-Driven Models in Power Systems

April 13, 2017 @ 4:00 pm

Ram Rajagopal (Stanford University)

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The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing. 

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Geometries of Word Embeddings

April 11, 2017 @ 4:00 pm

Pramod Viswanath (University of Illinois)

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The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing. 

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A System Level Approach to Controller Synthesis

April 6, 2017 @ 4:00 pm

Nikolai Matni (California Institute of Technology)

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The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing. 

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Capacity via Symmetry: Extensions and Practical Consequences

April 4, 2017 @ 4:00 pm

Henry Pfister (Duke University)

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The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing. 

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March 2017

Probabilistic factorizations of big tables and networks

March 17, 2017 @ 11:00 am

David Dunson (Duke University)

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The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability, statistics, optimization, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated…

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How the Chinese Government Fabricates Social Media Posts for Strategic Distraction, not Engaged Arguments

March 7, 2017 @ 4:00 pm

Gary King  (Harvard University )

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IDSS Distinguished Seminars is a monthly lecture series featuring prominent global leaders and academics sharing research in areas that include social networks, causal inference, data privacy, computational social science and other areas that are impacted by the emergence of big data.  

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February 2017

Distributed Energy Resource Control and Network Optimization

February 28, 2017 @ 4:00 pm

Duncan Callaway (University of California, Berkeley)

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The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing. 

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An Information Theoretic Perspective on the ExplorationExploitation Tradeoff

February 14, 2017 @ 4:00 pm

Daniel Russo (Northwestern)

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The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing. 

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LIDS Student Conference

February 2, 2017 - February 3, 2017

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This a student-organized, student-run conference provides an opportunity for graduate students to present their research to peers, as well as to the community at large.

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December 2016

The Impact of Expanding Medicaid: Evidence from the Oregon Health Insurance Experiment 

December 13, 2016 @ 4:00 pm

Amy Finkelstein (MIT )

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IDSS Distinguished Seminars is a monthly lecture series featuring prominent global leaders and academics sharing research in areas that include social networks, causal inference, data privacy, computational social science and other areas that are impacted by the emergence of big data.  

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November 2016

Estimating High-Dimensional Autoregressive Point Processes

November 29, 2016 @ 4:00 pm

Rebecca Willett (University of Wisconsin – Madison)

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The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing. 

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Locality and Message Passing in Network Optimization

November 22, 2016 @ 4:00 pm

Patrick Rebeschini (Yale)

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The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing. 

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Interpretable prediction models for network-linked data

November 18, 2016 @ 11:00 am

Liza Levina (University of Michigan)

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The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability, statistics, optimization, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated…

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IDSS Distinguished Seminar 

November 8, 2016 @ 4:00 pm

Chris Knittel (MIT )

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IDSS Distinguished Seminars is a monthly lecture series featuring prominent global leaders and academics sharing research in areas that include social networks, causal inference, data privacy, computational social science and other areas that are impacted by the emergence of big data.  

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Community Detection in Networks: Algorithms, Complexity, and Information Limits

November 1, 2016 @ 4:00 pm

Bruce Hajek (University of Illinois Urbana-Champaign)

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The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing. 

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October 2016

Deep Submodular Functions: Learning and Applications in Data Science

October 25, 2016 @ 4:00 pm

Jeffrey Bilmes (University of Washington)

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The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing. 

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The Moral Character of Cryptographic Work

October 18, 2016 @ 4:00 pm

Phillip Rogaway (UC Davis)

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IDSS Distinguished Seminars is a monthly lecture series featuring prominent global leaders and academics sharing research in areas that include social networks, causal inference, data privacy, computational social science and other areas that are impacted by the emergence of big data.  

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Innovations for the 21st Century Electricity Grid

October 11, 2016 @ 4:00 pm

Arun Majumdar (Stanford University )

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IDSS Distinguished Seminars is a monthly lecture series featuring prominent global leaders and academics sharing research in areas that include social networks, causal inference, data privacy, computational social science and other areas that are impacted by the emergence of big data.  

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Fiber-Optic Communication via the Nonlinear Fourier Transform

October 4, 2016 @ 4:00 pm

Frank Kschischang (University of Toronto)

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The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing. 

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September 2016

Optimization Problems Involving Permutations

September 27, 2016 @ 4:00 pm

Steve Wright (University of Wisconsin-Madison)

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The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing. 

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Geometric Optimization

September 13, 2016 @ 4:00 pm

Suvrit Sra (MIT)

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The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing. 

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Couplings of Particle Filters

September 9, 2016 @ 11:00 am

Pierre E. Jacob (Harvard University)

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The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability, statistics, optimization, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated…

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January 2016

LIDS Student Conference

January 28, 2016 - January 29, 2016

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December 2015

Efficient Optimal Strategies for Universal Prediction

December 11, 2015 @ 11:00 am

Peter Bartlett (University of California, Berkeley)

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The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability, statistics, optimization, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated…

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Wiki Surveys: Open and Quantifiable Social Data Collection

December 8, 2015 @ 4:00 pm

Matthew Salganik (Princeton University)

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IDSS Distinguished Seminars is a monthly lecture series featuring prominent global leaders and academics sharing research in areas that include social networks, causal inference, data privacy, computational social science and other areas that are impacted by the emergence of big data.  

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Next Generation Missing Data Methodology

December 4, 2015 @ 11:00 am

Eric Tchetgen Tchetgen (Harvard University)

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The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability, statistics, optimization, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated…

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Learning from Geometry

December 1, 2015 @ 4:00 pm

Robert Calderbank (Duke University)

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The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing. 

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November 2015

Coupling, Entropy and Costa’s Corner-Point Conjecture

November 24, 2015 @ 4:00 pm

Yury Polyanskiy (MIT)

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The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing. 

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Hiding the Source of a Rumor in Anonymous Messaging

November 17, 2015 @ 4:00 pm

Sewoong Oh (University of Illinois)

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The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing. 

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Expansion of biological pathways by integrative Genomics

November 13, 2015 @ 11:00 am

Jun Liu (Harvard University)

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The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability, statistics, optimization, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated…

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IDSS Distinguished Seminar 

November 10, 2015 @ 4:00 pm

Matthew Jackson (Stanford University)

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IDSS Distinguished Seminars is a monthly lecture series featuring prominent global leaders and academics sharing research in areas that include social networks, causal inference, data privacy, computational social science and other areas that are impacted by the emergence of big data.  

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On a High-Dimensional Random Graph Process

November 6, 2015 @ 11:00 am

Gábor Lugosi (Pompeu Fabra University)

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The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability, statistics, optimization, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated…

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How to Learn Probability Without Learning

November 3, 2015 @ 4:00 pm

Young-Han Kim (University of California, San Diego)

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The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing. 

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October 2015

MOCCA: a primal/dual algorithm for nonconvex composite functions with applications to CT imaging

October 30, 2015 @ 11:00 am

Rina Foygel Barber (University of Chicago)

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The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability, statistics, optimization, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated…

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Dynamics of Swarms and Opinions via Discrete Positive Systems

October 27, 2015 @ 4:00 pm

Ulrich Krause (Universität Bremen)

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The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing. 

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Ranking and Embedding From Pairwise Comparisons

October 23, 2015 @ 11:00 am

Robert Nowak (University of Wisconsin-Madison)

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The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability, statistics, optimization, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated…

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Teaching an Old Code a New Trick

October 20, 2015 @ 4:00 pm

Rudi Urbanke (EPFL)

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The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing. 

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Causal Inference with Random Forests

October 16, 2015 @ 11:00 am

Stefan Wager (Stanford University)

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The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability, statistics, optimization, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated…

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Discovering hidden structures in complex networks

October 9, 2015 @ 11:00 am

Roman Vershynin (University of Michigan)

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The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability, statistics, optimization, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated…

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Applying Machine Learning in Online Revenue Management

October 6, 2015 @ 4:00 pm

David Simchi-Levi (MIT)

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The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing. 

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Fast algorithms and (other) min-max optimal algorithms for mixed regression

October 2, 2015 @ 11:00 am

Constantine Caramanis (University of Texas at Austin)

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The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability, statistics, optimization, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated…

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September 2015

Some Limitations and Possibilities Toward Data-Driven Optimization

September 29, 2015 @ 4:00 pm

Yaron Singer (Harvard University)

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The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing. 

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Some Fundamental Ideas for Causal Inference on Large Networks

September 25, 2015 @ 11:00 am

Edo Airoldi (Harvard University)

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The Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability, statistics, optimization, and applied mathematics. The seminar also regularly features experts in applications domains such as biology or engineering. This intellectual diversity has contributed to the organic assembly of a dynamic and diverse audience articulated…

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Optimal Resource Allocation to Control Epidemic Outbreaks in Networked Population

September 22, 2015 @ 4:00 pm

Victor Preciado (University of Pennsylvania)

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The LIDS Seminar Series features distinguished speakers in the information and decision sciences who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing. 

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Making Good Policies with Bad Causal Inference: The Role of Prediction and Machine Learning

September 15, 2015 @ 4:00 pm

Sendhil Mullainathan (Harvard University)

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IDSS Distinguished Seminars is a monthly lecture series featuring prominent global leaders and academics sharing research in areas that include social networks, causal inference, data privacy, computational social science and other areas that are impacted by the emergence of big data.  

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